Stage models

In the same way, staging models is similar to staging datasets.

CLI

You can stage a model with following CLI command:

eotdl models get "model-name"

Your models will be staged to a default folder, but you can specify a different folder with the --path option or the EOTDL_DOWNLOAD_PATH environment variable. For example, to stage the model to the current directory:

eotdl models get "model-name" --path .

In order to overwrite a model that you already staged, you can use the --force option.

eotdl models get "model-name" --force

If you know the specific version of the model to stage, use the --version option.

eotdl models get "model-name" --version 1

By default, only the model metadata is staged. In order to stage the assets as well, use the --assets option.

eotdl models get "model-name" --assets

Library

You can stage models using the following Python code:

from eotdl.models import download_model

download_model("model-name")

And use the same options seen before.

download_model("model-name", force=True, path="data", version=1, assets=True)